CN112309578B - Method and system for improving recovery efficiency of osteoporotic vertebral fracture patient - Google Patents
Method and system for improving recovery efficiency of osteoporotic vertebral fracture patient Download PDFInfo
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Abstract
The invention discloses a method and a system for improving the recovery efficiency of patients with osteoporotic vertebral fracture, wherein first image information of a first patient is obtained through an imaging examination device; obtaining historical case information for a first patient; inputting the first image information and the historical case information into a first training model to obtain a first output result of the first training model, and obtaining first stress information according to the first output result; obtaining physical fitness information of the first patient; inputting the physical constitution information into a second training model to obtain a second output result of the second training model, wherein the second output result comprises the rehabilitation condition of the first patient; and generating a first correction parameter according to the rehabilitation condition of the first patient and the physical fitness information, and correcting the first stress information according to the first correction parameter. The technical problem of lack among the prior art according to patient's different constitutions and condition accurate acquisition the real-time status of patient, help the patient recovered is solved.
Description
Technical Field
The invention relates to the field of rehabilitation of patients with vertebral fracture, in particular to a method and a system for improving the rehabilitation efficiency of patients with osteoporotic vertebral fracture.
Background
After the osteoporotic vertebral fracture occurs, vertebral compression can cause the height of a patient to be changed to be short, the spine to be convex, the side to be bent, the deformity, the humpback and the like, further cause back pain of the patient, obviously reduce the cardiac and pulmonary functions, disorder of gastrointestinal functions and the like, and the bone healing process of an elderly patient with the osteoporotic vertebral fracture is slowed down, and delayed fracture healing or nonhealing is easy to occur; after fracture, the rapid loss of bone mass can be caused by the braking of the bed, further the osteoporosis is aggravated, various complications are caused, and the disability rate and the fatality rate are high. After the osteoporotic vertebral fracture occurs, conservative treatments such as bed rest, osteoporosis resistance, brace wearing and the like can be performed, and the osteoporotic vertebral fracture treatment can be performed if the conservative treatments are ineffective, and the osteoporotic vertebral fracture treatment comprises minimally invasive operations such as vertebroplasty, open surgery and the like.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
the technical problem that the real-time state of a patient is accurately obtained according to different constitutions and conditions of the patient to help the patient to recover is lacked in the prior art.
Disclosure of Invention
The embodiment of the application provides a method and a system for improving the rehabilitation efficiency of patients with osteoporotic vertebral fracture, and solves the technical problems that the patients lack different physiques and conditions according to the patients and are accurately obtained in the prior art, the real-time state of the patients is accurately evaluated, the patients are obtained, the stress conditions of the patients are formulated to perform rehabilitation exercise, and the technical effect of improving the rehabilitation efficiency of the patients is achieved.
In view of the above problems, the embodiments of the present application provide a method and system for improving the recovery efficiency of patients with osteoporotic vertebral fractures.
In a first aspect, an embodiment of the present application provides a system for improving the recovery efficiency of patients with osteoporotic vertebral fracture, the system is applied to a patient management system in hospitals, the system is connected with an imaging examination device, a first camera and each patient management system in hospitals, the system includes: a first obtaining unit for obtaining first image information of a first patient by the imaging examination apparatus; a second obtaining unit for obtaining historical case information of the first patient according to the hospital patient management system; a first input unit, configured to input the first image information and the historical case information into a first training model, where the first training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data includes: the first image information, the historical case information and identification information identifying the degree of vertebral fracture of the first patient; a third obtaining unit, configured to obtain a first output result of the first training model, where the first output result includes vertebral fracture degree level information of the first patient; a fourth obtaining unit, configured to obtain first stress information according to the first output result; a fifth obtaining unit for obtaining physical information of the first patient; the second input unit is used for inputting the physique information into a second training model, the second training model is obtained by training a plurality of groups of training data, and each group of the plurality of groups of training data comprises: the physical fitness information and identification information identifying the rehabilitation condition of the first patient; a sixth obtaining unit for obtaining a second output of the second training model, the second output comprising a rehabilitation status of the first patient; the first correcting unit is used for generating a first correcting parameter according to the rehabilitation condition of the first patient and the physical fitness information, and correcting the first stress information according to the first correcting parameter.
In another aspect, the present application further provides a method for improving the recovery efficiency of patients with osteoporotic vertebral fractures, the method is applied to a hospital patient management system, the system is connected with an imaging examination device, a first camera and each hospital patient management system, and the method comprises: obtaining first image information of a first patient by the imaging examination apparatus; obtaining historical case information of the first patient according to the hospital patient management system; inputting the first image information and the historical case information into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups of training data comprises: the first image information, the historical case information and identification information identifying the degree of vertebral fracture of the first patient; obtaining a first output result of the first training model, the first output result comprising vertebral fracture level information of the first patient; obtaining first stress information according to the first output result; obtaining physical fitness information of the first patient; inputting the constitution information into a second training model, wherein the second training model is obtained by training a plurality of groups of training data, and each group of the plurality of groups of training data comprises: the physical fitness information and identification information identifying the rehabilitation condition of the first patient; obtaining a second output of the second training model, the second output comprising a rehabilitation status of the first patient; generating a first correction parameter according to the rehabilitation condition of the first patient and the physical fitness information, and correcting the first stress information according to the first correction parameter.
In a third aspect, the present invention provides a system for improving the recovery efficiency of patients with osteoporotic vertebral fractures, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the system of the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
since the first training model is used to input the first image information and the case information of the first patient, obtaining the vertebral fracture degree grade information of a first patient according to the first training model, inputting the constitution information into a second training model, obtaining the rehabilitation condition of the first patient according to a second training model, generating a first correction parameter according to the rehabilitation condition of the first patient and the physique information, the accurate maximum stress condition of the first patient is obtained based on the characteristic of continuous self-correction adjustment of the training model according to the mode of correcting the first stress information by the first correction parameter, and carrying out rehabilitation action adjustment on the first patient according to the maximum stress condition so as to accurately evaluate the real-time state of the patient, obtain the stress condition of the patient to make rehabilitation movement and improve the technical effect of the rehabilitation efficiency of the patient.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart illustrating a method for improving the recovery efficiency of a patient with osteoporotic vertebral fracture according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a system for improving the recovery efficiency of a patient with osteoporotic vertebral fracture, according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a first input unit 13, a third obtaining unit 14, a fourth obtaining unit 15, a fifth obtaining unit 16, a second input unit 17, a sixth obtaining unit 18, a first modifying unit 19, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, a bus interface 306.
Detailed Description
The embodiment of the application provides a method and a system for improving the rehabilitation efficiency of patients with osteoporotic vertebral fracture, and solves the technical problems that the patients lack different physiques and conditions according to the patients and are accurately obtained in the prior art, the real-time state of the patients is accurately evaluated, the patients are obtained, the stress conditions of the patients are formulated to perform rehabilitation exercise, and the technical effect of improving the rehabilitation efficiency of the patients is achieved. Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
After the osteoporotic vertebral fracture occurs, vertebral compression can cause the height of a patient to be changed to be short, the spine to be convex, the side to be bent, the deformity, the humpback and the like, further cause back pain of the patient, obviously reduce the cardiac and pulmonary functions, disorder of gastrointestinal functions and the like, and the callus formation healing process of an elderly patient with the osteoporotic vertebral fracture is slowed down, and delayed fracture healing or nonhealing is easy to occur; after fracture, the rapid loss of bone mass can be caused by the braking of the bed, further the osteoporosis is aggravated, various complications are caused, and the disability rate and the fatality rate are high. After the osteoporotic vertebral fracture occurs, conservative treatments such as bed rest, osteoporosis resistance, brace wearing and the like can be performed, and the osteoporotic vertebral fracture treatment can be performed if the conservative treatments are ineffective, and the osteoporotic vertebral fracture treatment comprises minimally invasive operations such as vertebroplasty, open surgery and the like. However, the prior art lacks of the technical problem of accurately obtaining the real-time state of the patient according to different constitutions and conditions of the patient to help the patient to recover.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a system for improving recovery efficiency of patients with osteoporosis vertebral fracture, the system is applied to patient management systems in hospitals, the system is connected with imaging examination equipment, a first camera and each patient management system in hospitals, the system includes: a first obtaining unit for obtaining first image information of a first patient by the imaging examination apparatus; a second obtaining unit for obtaining historical case information of the first patient according to the hospital patient management system; a first input unit, configured to input the first image information and the historical case information into a first training model, where the first training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data includes: the first image information, the historical case information and identification information identifying the degree of vertebral fracture of the first patient; a third obtaining unit, configured to obtain a first output result of the first training model, where the first output result includes vertebral fracture degree level information of the first patient; a fourth obtaining unit, configured to obtain first stress information according to the first output result; a fifth obtaining unit for obtaining physical information of the first patient; the second input unit is used for inputting the physique information into a second training model, the second training model is obtained by training a plurality of groups of training data, and each group of the plurality of groups of training data comprises: the physical fitness information and identification information identifying the rehabilitation condition of the first patient; a sixth obtaining unit for obtaining a second output of the second training model, the second output comprising a rehabilitation status of the first patient; the first correcting unit is used for generating a first correcting parameter according to the rehabilitation condition of the first patient and the physical fitness information, and correcting the first stress information according to the first correcting parameter.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, the present application provides a method for improving the recovery efficiency of a patient with osteoporotic vertebral fracture, wherein the method is applied to a hospital patient management system, and the system is connected with an imaging examination device, a first camera and each hospital patient management system, wherein the method comprises:
step S100: obtaining first image information of a first patient by the imaging examination apparatus;
specifically, the imaging examination apparatus includes, but is not limited to, X-ray, dual-energy X-ray absorption detection, CT, MRI, whole body bone nuclide imaging, and the like. First image information of the first patient is obtained by the imaging examination apparatus.
Step S200: obtaining historical case information of the first patient according to the hospital patient management system;
specifically, the hospital patient management system is in communication connection with other hospital patient management systems, historical case information of the first patient is called out from other hospital patient management systems and the hospital patient management system of the hospital by obtaining the personal information of the first patient, the patient is suffered from other diseases at the same time or has osteoporosis vertebral fracture history before, negative effects on the rehabilitation of the first patient are achieved, and the foundation is tamped for subsequently and accurately judging the maximum stress information of the first patient by obtaining the historical case information.
Step S300: inputting the first image information and the historical case information into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups of training data comprises: the first image information, the historical case information and identification information identifying the degree of vertebral fracture of the first patient;
specifically, the first training model is a model capable of performing continuous self-training learning according to training data, and further, the first training model is a Neural network model, which is a Neural network model in machine learning, and a Neural Network (NN) is a complex Neural network system formed by widely connecting a large number of simple processing units (called neurons), reflects many basic features of human brain functions, and is a highly complex nonlinear dynamical learning system. Neural network models are described based on mathematical models of neurons. Artificial Neural Networks (Artificial Neural Networks) are a description of the first-order properties of the human brain system. Briefly, it is a mathematical model. Training based on a large amount of training data, wherein each set of training data in the training data comprises the first image information, the historical case information, and identification information identifying the degree of vertebral fracture of the first patient; the neural network model is continuously self-corrected, and when the output information of the neural network model reaches a preset accuracy rate/reaches a convergence state, the supervised learning process is ended. Through data training of the neural network model, the neural network model can process the input data more accurately, and the output vertebral fracture degree grade information of the first patient is more accurate. And inputting the first image information and the historical case information into a first training model based on the characteristic that the data is more accurate after the training of the training model, and accurately obtaining the vertebral fracture degree grade information of the first patient through the output information of the training model, so that the judgment result is more accurate, and the technical effect of accurately obtaining the first stress information is achieved.
Step S400: obtaining a first output result of the first training model, the first output result comprising vertebral fracture level information of the first patient;
step S500: obtaining first stress information according to the first output result;
specifically, the maximum stress information of the first patient is obtained according to the information of the vertebral fracture degree grade of the first patient output by the training model, the maximum stress information is the first stress information, and appropriate rehabilitation exercise movement can be provided for the first patient according to the stress information subsequently.
Step S600: obtaining physical fitness information of the first patient;
step S700: inputting the constitution information into a second training model, wherein the second training model is obtained by training a plurality of groups of training data, and each group of the plurality of groups of training data comprises: the physical fitness information and identification information identifying the rehabilitation condition of the first patient;
specifically, the second training model is also a neural network model, which is not described in detail herein, and the physical information of the first patient is an important marker for determining whether the fracture of the first patient is delayed in healing or not. And inputting the constitution into a training model, and based on supervised learning of the training model and continuous enrichment of a feature library, the rehabilitation condition of the first patient output by the second training model is more consistent with the real predicted condition, so that more accurate rehabilitation condition can be obtained according to the output result of the second training model.
Step S800: obtaining a second output of the second training model, the second output comprising a rehabilitation status of the first patient;
step S900: generating a first correction parameter according to the rehabilitation condition of the first patient and the physical fitness information, and correcting the first stress information according to the first correction parameter.
Particularly, the second output result of the second training model is the rehabilitation condition of the first patient, the maximum stress information of the first patient at the moment is obtained according to the rehabilitation condition and the constitution of the second patient, the recommended rehabilitation action of the first patient can be adjusted according to the maximum stress information at the moment, and the first patient can be subjected to more appropriate rehabilitation exercise according to the rehabilitation action adjusted in real time, so that the real-time state of the patient can be accurately evaluated, the rehabilitation exercise can be formulated according to the stress condition of the patient, and the technical effect of the rehabilitation efficiency of the patient is improved.
Further, in the step S500 according to the first output result, the obtaining of the first stress information further includes:
step S510: obtaining vertebral fracture location information for a first patient;
step S520: obtaining a first high-risk action according to the vertebral fracture position information and the vertebral fracture degree grade information;
step S530: obtaining first action information of the first patient through the first camera;
step S540: and when the first action information is matched with the first high-risk action, obtaining a first evaluation instruction, and re-evaluating the stress information of the first patient according to the first evaluation instruction.
Specifically, according to different vertebral fracture positions of the first patient, actions which cannot be performed by the first patient at different positions are obtained, the actions may cause further aggravation of the disease condition of the first patient, when the first patient is detected to have the high-risk actions through the first camera, a first evaluation instruction is generated, the first patient is re-evaluated according to the first evaluation instruction, the first patient at the moment is likely to have further aggravation of the disease condition, and if previous rehabilitation action exercise is still adopted, the disease condition may be further aggravated and even die. And performing maximum stress reevaluation on the first patient according to the first evaluation instruction, matching the first patient with the appropriate rehabilitation action at the moment, so as to accurately evaluate the real-time state of the patient, obtain the stress condition of the patient to make rehabilitation movement, and improve the technical effect of the rehabilitation efficiency of the patient.
Further, in the step S500 according to the first output result, the obtaining of the first stress information further includes:
step S550: obtaining a first treatment regimen for the first patient;
step S560: obtaining a first rehabilitation action according to the first stress information and the first treatment scheme;
step S570: updating the first rehabilitation action to the first treatment protocol.
Specifically, a first treatment scheme of the first patient is obtained according to the hospital management system, a first rehabilitation action suitable for the first patient is obtained according to the maximum stress information and the vertebral fracture position of the first patient, the first rehabilitation action is added to the treatment scheme of the first patient, and rehabilitation motion is matched with drug treatment to enable the first patient to recover more quickly.
Further, the embodiment of the present application further includes:
step S1010: obtaining first path information;
step S1020: acquiring people flow information of the first path at different times;
step S1030: and obtaining first recommended time according to the people flow information, and recommending the first patient to go out according to the first recommended time.
Specifically, the first path information is a path for the first patient to go to a toilet or a path for the first patient to go outdoors for rehabilitation exercise, the first camera is used for obtaining the people flow information of the first path, and the time period with less people flow is obtained according to the people flow information of the first path at different time periods of each day. Furthermore, falls and collisions are important factors for patients with osteoporosis, and osteoporosis vertebral fracture should be paid attention to people to avoid going out when the flow of people is high, so that passers-by do not hurt the first patient. And pushing the first patient according to the first time with less flow of people, and enabling the first patient to go out at the recommended time as much as possible.
Further, the recommending, according to the first recommended time, that the first patient goes out, step S1030 of this embodiment of the present application further includes:
step S1031: obtaining a first weather condition at a first recommended time;
step S1032: determining whether the first condition of the day is conducive to rehabilitation of the first patient;
step S1033: recommending the first recommended time to the first patient when the first since-day condition is conducive to rehabilitation of the first patient.
Specifically, when the first patient wants to perform an outgoing rehabilitation exercise, a recommended first day atmosphere condition at a first time is obtained, and whether the first day atmosphere meets the requirement of the first user for performing rehabilitation exercise is judged. Further, multiple sun exposure may be useful for calcium absorption and body building in said first patient, and said first time is recommended to said first patient when said sun is suitable for rehabilitation exercise in said first patient.
Further, the embodiment of the present application further includes:
step S1040: obtaining a first nutrition plan based on the first patient's rehabilitation status;
step S1050: obtaining a family condition of a first patient;
step S1060: modifying the first nutrition plan based on the first patient's family condition;
step S1070: the modified first nutrition program is sent to the first user.
Specifically, the first user is a family or a relative of the first patient, the first nutrition plan is a nutrition plan obtained according to the condition of the first user and the actual nutrient element demand supplement condition, and the rehabilitation speed of the first patient can be accelerated through the nutrition plan. The family condition of the first patient is specifically the family economic condition of the first patient, and the first plan is modified according to the family economic condition of the patient after the family economic condition of the patient is judged. For example, when the first patient is in poor home economy, the material/food that supplements the relevant elements and is absorbent but expensive is replaced with material/food that functions the same but is less effective than some less expensive material/food. Transmitting the modified first nutrition plan to the family of the first patient.
Further, before inputting the physical fitness information into the second training model, step S700 in this embodiment of the present application further includes:
step S710: generating a first identification code according to first quality information, wherein the first identification code corresponds to the first quality information one by one;
step S720: generating a second identification code according to second physique information and the first identification code, and generating an Nth identification code according to the Nth physique information and an Nth-1 identification code by analogy, wherein the Nth identification code corresponds to the Nth physique information one to one, and N is a natural number greater than 1;
step S730: and respectively copying and storing the constitution information and the identification code on M electronic devices, wherein M is a positive integer greater than 1.
In particular, the blockchain technique, also referred to as a distributed ledger technique, is an emerging technique in which several computing devices participate in "accounting" together, and maintain a complete distributed database together. The blockchain technology has been widely used in many fields due to its characteristics of decentralization, transparency, participation of each computing device in database records, and rapid data synchronization between computing devices. Generating a first identification code according to the first quality information, wherein the first identification code corresponds to the first quality information one by one; a second identification code generated according to the second body quality information and the first identification code, wherein the second identification code corresponds to the second body quality information one to one; and in the same way, generating an Nth identification code according to the Nth constitution information and the (N-1) th identification code, wherein N is a natural number more than 1. Respectively copying and storing all physical information and identification codes on M devices, wherein the first physical information and the first identification code are stored on one device as a first storage unit, the second physical information and the second identification code are stored on one device as a second storage unit, the Nth physical information and the Nth identification code are stored on one device as an Nth storage unit, when the physical information needs to be called, after each subsequent node receives data stored by the previous node, the data are checked through a common identification mechanism and stored, each storage unit is connected in series through a Hash function, so that training data are not easy to lose and damage, the training data are encrypted through logic of a block chain, the safety of the physical information is ensured and are stored on a plurality of devices, and the data stored on the devices are processed through the common identification mechanism, the few devices are subject to the majority, when one or more devices are tampered, the obtained physique information is still accurate as long as the number of the devices storing correct data is larger than the number of the tampered devices, the safety of the physique information is further guaranteed, the accuracy of a training model obtained through training of the training data is achieved, and the technical effect of accurately judging the rehabilitation condition of the first patient is achieved.
To sum up, the method and the system for improving the rehabilitation efficiency of the patient with osteoporotic vertebral fracture provided by the embodiment of the application have the following technical effects:
1. since the first training model is used to input the first image information and the case information of the first patient, obtaining the vertebral fracture degree grade information of a first patient according to the first training model, inputting the constitution information into a second training model, obtaining the rehabilitation condition of the first patient according to a second training model, generating a first correction parameter according to the rehabilitation condition of the first patient and the physique information, the accurate maximum stress condition of the first patient is obtained based on the characteristic of continuous self-correction adjustment of the training model according to the mode of correcting the first stress information by the first correction parameter, and carrying out rehabilitation action adjustment on the first patient according to the maximum stress condition so as to accurately evaluate the real-time state of the patient, obtain the stress condition of the patient to make rehabilitation movement and improve the technical effect of the rehabilitation efficiency of the patient.
2. The mode of adjusting the rehabilitation action in real time according to the maximum stress information is adopted, so that the first patient can perform more suitable rehabilitation exercise, the real-time state of the patient can be accurately evaluated, the patient can make rehabilitation exercise according to the stress condition, and the technical effect of improving the rehabilitation efficiency of the patient is improved.
3. The method has the advantages that the training data are encrypted through logic of the block chain, so that the safety of the physique information is guaranteed, the physique information is stored on multiple devices, the data stored on the multiple devices are processed through a consensus mechanism, namely, a small number of the data are subjected to majority, when one or more devices are tampered, the obtained physique information is still accurate as long as the number of the devices storing correct data is larger than the number of the devices being tampered, the safety of the physique information is further guaranteed, the accuracy of a training model obtained through training of the training data is achieved, and the technical effect of accurately judging the rehabilitation condition of the first patient is achieved.
Example two
Based on the same inventive concept as the method for improving the recovery efficiency of the patient with osteoporotic vertebral fracture in the previous embodiment, the invention also provides a system for improving the recovery efficiency of the patient with osteoporotic vertebral fracture, as shown in fig. 2, the system comprises:
a first obtaining unit 11, the first obtaining unit 11 being configured to obtain first image information of a first patient by the imaging examination apparatus;
a second obtaining unit 12, the second obtaining unit 12 being configured to obtain historical case information of the first patient according to the hospital patient management system;
a first input unit 13, where the first input unit 13 is configured to input the first image information and the historical case information into a first training model, where the first training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets of training data includes: the first image information, the historical case information and identification information identifying the degree of vertebral fracture of the first patient;
a third obtaining unit 14, wherein the third obtaining unit 14 is configured to obtain a first output result of the first training model, and the first output result includes vertebral fracture degree grade information of the first patient;
a fourth obtaining unit 15, where the fourth obtaining unit 15 is configured to obtain first stress information according to the first output result;
a fifth obtaining unit 16, said fifth obtaining unit 16 being configured to obtain physical information of said first patient;
a second input unit 17, where the second input unit 17 is configured to input the physical fitness information into a second training model, where the second training model is obtained by training multiple sets of training data, and each of the multiple sets of training data includes: the physical fitness information and identification information identifying the rehabilitation condition of the first patient;
a sixth obtaining unit 18, wherein the sixth obtaining unit 18 is configured to obtain a second output result of the second training model, and the second output result includes a rehabilitation status of the first patient;
a first correcting unit 19, wherein the first correcting unit 19 is configured to generate a first correction parameter according to the rehabilitation status and the physical fitness information of the first patient, and correct the first stress information according to the first correction parameter.
Further, the system further comprises:
a seventh obtaining unit for obtaining vertebral fracture position information of the first patient;
an eighth obtaining unit, configured to obtain a first high-risk action according to the vertebral fracture position information and the vertebral fracture degree level information;
a ninth obtaining unit for obtaining first motion information of the first patient through the first camera;
a tenth obtaining unit, configured to obtain a first evaluation instruction when the first action information matches the first high-risk action, and re-evaluate the stress information of the first patient according to the first evaluation instruction.
Further, the system further comprises:
an eleventh obtaining unit for obtaining a first treatment protocol for the first patient;
a twelfth obtaining unit for obtaining a first rehabilitation action according to the first stress information and the first treatment plan;
a first updating unit to update the first rehabilitation action to the first therapy regime.
Further, the system further comprises:
a thirteenth obtaining unit configured to obtain the first path information;
a fourteenth obtaining unit, configured to obtain people flow information at different times in the first path;
a fifteenth obtaining unit, configured to obtain a first recommended time according to the people flow information, and recommend that the first patient goes out according to the first recommended time.
Further, the system further comprises:
a sixteenth obtaining unit, configured to obtain a first weather condition at a first recommended time;
a first determination unit for determining whether the first weather condition is conducive to rehabilitation of the first patient;
a first recommending unit for recommending the first recommended time to the first patient when the first-day-start situation contributes to rehabilitation of the first patient.
Further, the system further comprises:
a seventeenth obtaining unit for obtaining a first nutrition plan according to the rehabilitation status of the first patient;
an eighteenth obtaining unit for obtaining a family condition of the first patient;
a first modification unit for modifying the first nutrition plan according to the family condition of the first patient;
a first sending unit for sending the modified first nutrition program to a first user.
Further, the system further comprises:
a nineteenth obtaining unit, configured to generate a first identification code according to first quality information, where the first identification code corresponds to the first quality information one to one;
a twentieth obtaining unit, configured to generate a second identification code according to second physical information and the first identification code, and by analogy, generate an nth identification code according to nth physical information and an nth-1 identification code, where the nth identification code corresponds to the nth physical information one to one, and N is a natural number greater than 1;
the first storage unit is used for respectively copying and storing the physique information and the identification code on M electronic devices, and M is a positive integer greater than 1.
Various changes and embodiments of the method for improving the rehabilitation efficiency of the patient with osteoporotic vertebral fracture in the first embodiment of fig. 1 are also applicable to the system for improving the rehabilitation efficiency of the patient with osteoporotic vertebral fracture in the present embodiment, and through the above detailed description of the method for improving the rehabilitation efficiency of the patient with osteoporotic vertebral fracture, the implementation method of the system for improving the rehabilitation efficiency of the patient with osteoporotic vertebral fracture in the present embodiment is clear to those skilled in the art, so for the sake of brevity of the description, detailed description is not repeated here.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of the method for improving the rehabilitation efficiency of the patient with osteoporotic vertebral fracture in the previous embodiments, the present invention further provides a system for improving the rehabilitation efficiency of the patient with osteoporotic vertebral fracture, wherein a computer program is stored thereon, and when the program is executed by a processor, the computer program realizes the steps of any one of the methods for improving the rehabilitation efficiency of the patient with osteoporotic vertebral fracture.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other systems over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The embodiment of the invention provides a method for improving the recovery efficiency of patients with osteoporotic vertebral fracture, which is applied to a hospital patient management system, wherein the system is connected with an imaging examination device, a first camera and each hospital patient management system, and the method comprises the following steps: obtaining first image information of a first patient by the imaging examination apparatus; obtaining historical case information of the first patient according to the hospital patient management system; inputting the first image information and the historical case information into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups of training data comprises: the first image information, the historical case information and identification information identifying the degree of vertebral fracture of the first patient; obtaining a first output result of the first training model, the first output result comprising vertebral fracture level information of the first patient; obtaining first stress information according to the first output result; obtaining physical fitness information of the first patient; inputting the constitution information into a second training model, wherein the second training model is obtained by training a plurality of groups of training data, and each group of the plurality of groups of training data comprises: the physical fitness information and identification information identifying the rehabilitation condition of the first patient; obtaining a second output of the second training model, the second output comprising a rehabilitation status of the first patient; generating a first correction parameter according to the rehabilitation condition of the first patient and the physical fitness information, and correcting the first stress information according to the first correction parameter. The technical problem of lack among the prior art according to patient's different constitutions and condition accurate acquisition the real-time status of patient helps the recovered technical problem of patient reaches accurate aassessment patient's real-time status, obtains patient's atress condition formulates the recovered motion, improves patient's recovered efficiency is solved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (7)
1. A system for improving the recovery efficiency of patients with osteoporotic vertebral fractures, wherein the system is applied to a hospital patient management system, and is connected with an imaging examination device, a first camera and each hospital patient management system, wherein the system comprises:
a first obtaining unit for obtaining first image information of a first patient by the imaging examination apparatus;
a second obtaining unit for obtaining historical case information of the first patient according to the hospital patient management system;
a first input unit, configured to input the first image information and the historical case information into a first training model, where the first training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data includes: the first image information, the historical case information and identification information identifying the degree of vertebral fracture of the first patient;
a third obtaining unit, configured to obtain a first output result of the first training model, where the first output result includes vertebral fracture degree level information of the first patient;
a fourth obtaining unit, configured to obtain first stress information according to the first output result;
a fifth obtaining unit for obtaining physical information of the first patient;
the second input unit is used for inputting the physique information into a second training model, the second training model is obtained by training a plurality of groups of training data, and each group of the plurality of groups of training data comprises: the physical fitness information and identification information identifying the rehabilitation condition of the first patient;
a sixth obtaining unit for obtaining a second output of the second training model, the second output comprising a rehabilitation status of the first patient;
the first correction unit is used for generating a first correction parameter according to the rehabilitation condition and the physical fitness information of the first patient and correcting the first stress information according to the first correction parameter;
wherein the fourth obtaining unit further includes:
a seventh obtaining unit for obtaining vertebral fracture position information of the first patient;
an eighth obtaining unit, configured to obtain a first high-risk action according to the vertebral fracture position information and the vertebral fracture degree level information;
a ninth obtaining unit for obtaining first motion information of the first patient through the first camera;
a tenth obtaining unit, configured to obtain a first evaluation instruction when the first action information matches the first high-risk action, and re-evaluate the stress information of the first patient according to the first evaluation instruction;
wherein the fourth obtaining unit further includes:
an eleventh obtaining unit for obtaining a first treatment protocol for the first patient;
a twelfth obtaining unit for obtaining a first rehabilitation action according to the first stress information and the first treatment plan;
a first updating unit to update the first rehabilitation action to the first therapy regime.
2. The system of claim 1, wherein the system further comprises:
a thirteenth obtaining unit configured to obtain the first path information;
a fourteenth obtaining unit, configured to obtain people flow information at different times in the first path;
a fifteenth obtaining unit, configured to obtain a first recommended time according to the people flow information, and recommend that the first patient goes out according to the first recommended time.
3. The system of claim 2, wherein the fifteenth obtaining unit further comprises:
a sixteenth obtaining unit, configured to obtain a first weather condition at a first recommended time;
a first determination unit for determining whether the first weather condition is conducive to rehabilitation of the first patient;
a first recommending unit for recommending the first recommended time to the first patient when the first weather condition is helpful for the first patient to recover.
4. The system of claim 1, wherein the system further comprises:
a seventeenth obtaining unit for obtaining a first nutrition plan according to the rehabilitation status of the first patient;
an eighteenth obtaining unit for obtaining a family condition of the first patient;
a first modification unit for modifying the first nutrition plan according to the family condition of the first patient;
a first sending unit for sending the modified first nutrition program to a first user.
5. The system of claim 1, wherein the second input unit further comprises:
a nineteenth obtaining unit, configured to generate a first identification code according to first quality information, where the first identification code corresponds to the first quality information one to one;
a twentieth obtaining unit, configured to generate a second identification code according to second physical information and the first identification code, and by analogy, generate an nth identification code according to nth physical information and an nth-1 identification code, where the nth identification code corresponds to the nth physical information one to one, and N is a natural number greater than 1;
the first storage unit is used for respectively copying and storing the physique information and the identification code on M electronic devices, and M is a positive integer greater than 1.
6. A method for improving the recovery efficiency of patients with osteoporotic vertebral fractures, wherein the method is applied to a hospital patient management system, and the system is connected with an imaging examination device, a first camera and each hospital patient management system, wherein the method comprises the following steps:
obtaining first image information of a first patient by the imaging examination apparatus;
obtaining historical case information of the first patient according to the hospital patient management system;
inputting the first image information and the historical case information into a first training model, wherein the first training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups of training data comprises: the first image information, the historical case information and identification information identifying the degree of vertebral fracture of the first patient;
obtaining a first output result of the first training model, the first output result comprising vertebral fracture level information of the first patient;
obtaining first stress information according to the first output result;
obtaining physical fitness information of the first patient;
inputting the constitution information into a second training model, wherein the second training model is obtained by training a plurality of groups of training data, and each group of the plurality of groups of training data comprises: the physical fitness information and identification information identifying the rehabilitation condition of the first patient;
obtaining a second output of the second training model, the second output comprising a rehabilitation status of the first patient;
generating a first correction parameter according to the rehabilitation condition of the first patient and the physical fitness information, and correcting the first stress information according to the first correction parameter;
wherein the obtaining first stress information according to the first output result further comprises:
obtaining vertebral fracture location information for a first patient;
obtaining a first high-risk action according to the vertebral fracture position information and the vertebral fracture degree grade information;
obtaining first action information of the first patient through the first camera;
when the first action information is matched with the first high-risk action, obtaining a first evaluation instruction, and re-evaluating the stress information of the first patient according to the first evaluation instruction;
obtaining a first treatment regimen for the first patient;
obtaining a first rehabilitation action according to the first stress information and the first treatment scheme;
updating the first rehabilitation action to the first treatment protocol.
7. A system for improving the efficiency of rehabilitation of patients with osteoporotic vertebral fractures, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the system of any of claims 1-5.
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| CN106175774A (en) * | 2016-07-07 | 2016-12-07 | 清华大学 | A kind of novel knee joint/hip replacement postoperative rehabilitation walking monitoring system |
| CN108234956A (en) * | 2018-02-05 | 2018-06-29 | 龙马智芯（珠海横琴）科技有限公司 | Medical care monitoring method, device and system, equipment |
| CN108538393B (en) * | 2018-04-02 | 2021-12-10 | 重庆邮电大学 | Bone quality assessment expert system based on big data and prediction model establishing method |
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